System of relevant statistics for games of prediction using templates and presented in the form of tables

ABSTRACT

The invention is a system of relevant statistics generated for games of prediction using templates and presented in the form of computer generated tables for ease in use by a person for determining the likely outcome of the games. The system shows the equilibrium position in each stage of the evolution of lottery drawings, based on the discovery of the organization of “Discrete Sample Spaces” into templates that allows for the theoretical probabilities of the events to be known and which are obeyed in the game drawings. The calculations and the data have to coincide, to respect the Standard Deviation, and therefore, the system makes possible formulating predictions based on this information using a template that represents all the games with the same behavior pattern, represented by colors.

[0001] This invention is directed to a system for generating relevantstatistics for games of prediction, for use in templates and presentedin the form of tables. These templates show the point of equilibrium ateach stage in the evolution of lottery drawings.

BACKGROUND

[0002] Over the centuries mathematicians have constructed the Theory ofProbability, initially using three mathematically pure steps and thenadding other ingenious ideas which have been building up over time.

[0003] The three steps were:

[0004] A—1654—Pascal—Fermat. The famous correspondence between these twoestablished the bases of the theory of probabilities (Pascal discoveredthe formulas for combinatorial analysis) which is the mathematical coreof the concept of risk.

[0005] B—In 1703, G. von Leibniz wrote to his friend Jacob Bernoulli,“Nature has established patterns which are the origin of the recurrenceof events, but only for the most part”. After twenty years of study thisled to Bernoulli's discovery of the “Law of Large Numbers” (“Arsconjectande”—The Art of Conjecturing, 1713). Jacob Bernoulli's theoryfor the a posteriori calculation of probabilities is empirical since itdoes not offer a method for organizing all the Discrete Sample Spacesmathematically and for allowing the theoretical probability of theirevents to be known a priori and exactly. Contrary to the popular idea,the law does not provide a method for validating observed facts, andwhich are nothing more than the incomplete representation of the totaltruth.

[0006] In essence the law states:

[0007] “In any sample the difference between the value observed and itstrue value will decrease proportionally as the number of observationsincreases”. A mathematical explanation of the law is therefore needed.

[0008] Discrete Sample Spaces—These are all the possible outcomes of anexperiment.

[0009] Experiment—Experiments are those acts which, when repeatedconstantly under the same conditions, produce individual results, whichwe are unable to predict. However, after a certain number of repetitionsa defined pattern or regularity will occur. This is the regularity whichmakes it possible to build an accurate mathematical model with which theexperiment can be analyzed.

[0010] The lottery draw is a random experiment.

[0011] C—In 1773, Abraham de Moivre expounded the structure of normaldistribution—“the bell-shaped curve”—and discovered the concept of“standard deviation” (“the doctrine of chances”). De Moivre's success insolving these problems is one of the most important achievements inmathematics. Eighty-three years later, when studying geodeticmeasurements taken in Bavaria, Gauss arrived at the same conclusion. “AStandard Deviation of 2% is accepted by the majority of statisticians”.

[0012] A simple analysis of these three steps shows that the gap whichexists has to do with the knowledge of the organization of SampleSpaces, since this is what will allow us to analyze the experiment(lottery drawings) mathematically.

[0013] This process is at present carried out using statistics based onobservations which have no foundation.

[0014] There are Internet sites and pamphlets distributed at LotterySales outlets which state, for example:

[0015] 6 has been drawn 3 times with 27

[0016] 17 has not appeared in the last 20 drawings

[0017] In other words, curious, interesting and casual observations.

[0018] Previous mathematical proposals are unknown.

[0019] The solution here suggested is based on a methodology whichorganizes “Discrete Sample Spaces” into patterns. This allows us tocalculate the theoretical probability of the events, which are obeyed inthe draws. If the calculations of the patterns (or templates) and thefacts must coincide (respecting Standard Deviation) then it is possibleto make predictions based on this information. A template is producedwhich represents all the games with the same behavior pattern. Thesegames are represented by colors.

[0020] Example

[0021] If we play with the following numbers. 01 02 11 23 36 45 01 03 1021 30 42 02 03 12 20 34 44 04 07 14 24 33 42 05 08 17 28 31 42 06 07 1822 37 47 07 08 15 21 32 46 04 07 14 24 33 42 05 08 17 28 31 42 06 07 1822 37 47 07 08 15 21 32 46 . . . . . . . . . . . . . . . . . . 08 09 1929 39 48

[0022] . . . then we are systematically playing using the same patternor template, i.e. we always mark 2 numbers in the zero decile, 1 numberin the first decile, 1 number in the second decile, 1 number in thethird decile and 1 number in the fourth decile.

[0023] Each template has its own theoretical probability preciselypredetermined and this is obeyed in the drawings. If the calculationsand the facts must coincide (respecting Standard Deviation) we can makepredictions based on the “search for the probability that an increase inthe number of drawings will increase the probability that the observedmean will not deviate more than 2% from the true mean”.

[0024] The technical advantages are provided by the computer which showsthe statistics of the templates and numbers in a relevant and dynamicway. In any and every lottery the Sample Spaces are dramaticallysimplified, so that a user need not understand statistics to identifypatterns and select high probability numbers for entering in a lotterydrawing.

[0025] Example

[0026] The Super Sena 6-48 type lottery, with 12,271,512 combinations(possible plays) can be represented by only 210 templates, each one withits precise theoretical probability. Therefore it is possible to managelottery results, given that any game which is played corresponds to oneof the templates.

[0027] The practical advantage of this is the rationalization of theinformation, allowing for calculated decisions to be taken. By usingcolors to represent the patterns (or templates) it is possible to managethe whole system via computer, accessible for example, by a user overthe internet.

[0028] In 5 years of study and research we can state categorically thateverything which exists is based on the observation of past data. Thisis a criterion not permitted by the law of Large Numbers since this datadoes not express the whole truth.

[0029] The solution we intend to patent is capable of constructiveoperational variables since it is the result of a precise “mathematicaland probabilistic model” and this begins a new phase in our knowledge ofthe movement of things.

[0030] It will become a central tool in any activity involving randommovements, such as: genetics, finance, engineering, etc.

[0031] The discovery relates theoretical probabilities with facts, sincethe Law states that the mathematical regularity of an event must beobeyed, i.e., if the theoretical probability of a template is 3%, thismeans that this pattern should occur about 3 times every 100 draws.

[0032] In order to comply with the letter of the law the number ofdrawings must be the largest possible, but the theoretical probabilityof any pattern occurring is already sufficiently significant for it tobe respected throughout the drawings.

[0033] If we compare the information available on the variousprobabilities of Starts, Types of Sets, Patterns and Numbers, we have asolid base and are therefore well equipped to formulate predictions asto what may happen in the future.

[0034] In this we are supported by precise and pertinent information andin accordance with the Law.

[0035] The fact that the concepts being used are classic isjustification enough for leaving out bibliographic references.

[0036] Analysis

[0037] When we study any type of observed phenomenon, we have toformulate a Mathematical Model which will help us investigate thisphenomenon in a precise way.

[0038] In the case of the Cn and p phenomena the challenge initially isto solve the mathematical problem, i.e. find a method which organizesSample Spaces, whilst meeting the requirements of cause and effect.

[0039] Undoubtedly, this is the responsibility of Combinatory Analysis,since the evolution of combinations shows clearly that everythinghappens in deciles; that is, as basic hypotheses, combinations ofdeciles themselves and combinations of numbers in the same decile.

[0040] A generic solution was used which indicated all the possiblecombinations, given that we have combinations within combinations.

[0041] The colors reveal the forms and when we combine them in anorderly manner in predetermined spaces all the possible types ofcombination appear.

[0042] The resulting system is set out in the form of templates whichare the synthesis of the whole natural process.

[0043] Following the precise indications given by the colors the systemscome together. It is like a symphony.

[0044] After the initial harmony, the single notes come in, followed bypairs, then the trines and so forth until the final coming together ofthe movements.

[0045] The hypotheses are confirmed in the first movement and arerepeated as in the nature of things.

[0046] Templates function as the synthesizer—the catalyst of the system.But we had to understand them in their totality.

[0047] Leibniz wrote to Bernoulli:

[0048] “Nature has established patterns which give rise to therecurrence of happenings, but only for the most part”.

[0049] Up until now there has been no methodology which organizes SampleSpaces in a causal way and which is capable of noticing, even in asimple way, the most obvious and repetitive facts in the world ofexperience: their patterns of behavior.

[0050] The world knows Bernoulli's Law of Large Numbers empirically. Itneeds an explanation.

[0051] But templates are not merely the synthesis. They also constitutethe behavior patterns and the establishment of these patterns relies onthe precise and a priori calculation of theoretical probabilities.

[0052] The template concept demonstrates an extreme logical coherence.Besides indicating the patterns of behavior, it shows that the causes ofthe occurrence of patterns are the very patterns themselves.

[0053] But sets of similar patterns of behavior are not evident in thenatural evolution of combinations.

[0054] We needed to deduce them, to identify them in the naturalassembly and classify them in sets in accordance with similar patternsof behavior.

[0055] In the end, the Method gave structure to the system.

[0056] Colors are used to produce the various templates, which aredefined by the product of the simple combinations which they represent.

[0057] The templates rely on patterns of behavior which, whenquantified, reveal the Theoretical Probabilities. And all the SampleSpaces become viable.

[0058] The basic hypotheses are the perfect answer to the need for acausal explanation (Paul L. Meyer in “Probability—Applications inStatistics”—2^(nd) edition, Chapter 1).

[0059] Mathematical Models.

[0060] When choosing a model, we can make use of our own criticaljudgment. This was particularly well expressed by Prof. J. Neyman, whowrote:

[0061] “Every time we use Mathematics to study some observed phenomena,we must basically begin by constructing a mathematical model(deterministic or probabilistic) for these phenomena:

[0062] 1. The model must, inevitably, simplify things.

[0063] 2. Certain details should be ignored. The good result of themodel depends on the fact that the details which have been ignored are(or are not) really of no importance when it comes to explaining thephenomenon being studied.

[0064] 3. The solution of the mathematical problem may be correct butnevertheless, it might be at total variance with the observed facts,purely because the basic hypotheses have not been confirmed. Generallyspeaking it is very difficult to state with conviction that a particularmathematical model is suitable or not, before some observation data havebeen acquired.

[0065] 4. In order to verify the validity of the model, we must deduce acertain number of consequences from our model and then compare thesepredicted results with our observations.

[0066] Based on this critical opinion let us examine the Model.

[0067] 1 Sample Spaces are organized and reduced to groups of templates,or patterns. Example Combinations Groups of templates C60,6 50,063,860 714 C80,5 24,040,016 1122 C48,6 12,271,512  210

[0068] 2 Nothing was ignored

[0069] 3 The mathematical problem has been correctly solved and thebasic hypotheses are fully confirmed, since the mathematical solution ofthe problem allows for knowledge of all the data of the Sample Spaces

[0070] 4 There was a mathematical regularity to all the perfectly obeyedconsequences.

[0071] Predicted results

[0072] Standard deviation

[0073] Observations

[0074] The model satisfies the above stated requirements (if a series ofrepetitive experiments agrees with an hypothesis, a law can be statedwhich governs the phenomenon by means of mathematical derivation andfrom experimental data).

[0075] We would add:

[0076] 1 The Organization of Sample Spaces must define the behaviorpatterns and respond to the need for causal explanation.

[0077] 2 Theoretical Probabilities must be determined both a priori andprecisely.

[0078] The figures which accompany this patent are taken from theSpanish and French 6-49 type lotteries, showing the behavior of thosetemplates (patterns) which have the same probability. Spain and Francehave the same type of game (6-49), and therefore the same TheoreticalProbability Table.

DETAILED DESCRIPTION

[0079] The System, which is the subject of this application, reveals bymeans of a simple and colored representation the complex andsophisticated working for predicting lottery outcomes.

[0080] Contrary to what might be thought, it shows that the results ofthe drawings follow a pattern of behavior.

[0081] It shows that each lottery has an exact number of ways of playingcalled the template, each of which has its own probability of beingdrawn.

[0082] It provides tables with up-to-date, relevant information whichallows for an objective analysis and the choice of a template.

[0083] The choice of templates will be the first concern of the player.

[0084] A 5-49 lottery (meaning 5 from 49) means that 5 numbers are drawnfrom a group of 49. In the same way 6-48 gives us 6 numbers to be drawnfrom a group of 48, and so on.

[0085] Examples Lottery Total Templates Name Type number of combinations(sample space) Powerball (USA) 5-49  1,906,884 126 Super Sena (Brazil)6-48 12,271,512 210 Denmark 7-36  8,347,680 120

[0086] The total number of possibilities for each lottery, by templatein decreasing order of probability, is shown in the TheoreticalProbability Table.

[0087] Lotteries like the Super Sena, Mega Sena, Quina, Canadian Lotto,German Lotto, Spanish Lottery, French Lotto, Australian Lotto, NationalLottery (England) and dozens of others in the United States, haveextremely well-known structures and therefore are capable of beingmanaged.

[0088] Our aim is to show the behavior of the results in games ofprediction and supply relevant information to users, preferably via asubscription service, so that rational game strategies can beformulated.

[0089] Color Convention

[0090] One of the aims of the method which is the subject of this patentis to visualize the games in a simple and efficient manner. To achievethis we created a way of representing numbers by means of colors. Eachdecile is associated with a color and is given a name. The denominationof each decile is defined by its initial number so for example, thenumbers 01, 02 and 09 are called numbers of the zero decile (DO) and soon.

[0091] The color convention we used is shown in table 1. Examples ofgames using the normal representation and the representation usingcolors are shown in table 2.

[0092] Each game has a corresponding template; to identify it you onlyneed to use the colors. Each template has a certain probability ofhappening.

[0093] Templates

[0094] A 6-48 type lottery (the Brazilian Super Sena) has a total of12,271,512 combinations which can be represented by a mere 210templates.

[0095] A template represents a “pattern of behavior”. See examples intable 3.

[0096] We classify the templates by types which have a commoncharacteristic. The two first examples in table 3 show the P typetemplates; that is, they show the formation of a pair of numbers of thesame color. The third example shows three pairs of the same color, andso it is a PPP type. The last example has a trine of the same color andis therefore a T type.

[0097] The types of current templates are shown below:

[0098] Key Type Description P Pair of the same color PP Two pairs of adifferent color PPP Three pairs of a different color Q Four numbers ofthe same color QP Four numbers of one color with a pair of another colorS Six numbers of the same color T Trine of the same color TP Trine ofone color with a pair of another color TT Two trines of different colorsU* Single number, no color repeated V Five numbers of the same color

[0099] The Template Table by Order of Theoretical Probability shows eachone with their respective occurrence possibilities (calculation). Eachlottery has its own table.

[0100] Table of Theoretical Probability

[0101] The Table of Theoretical Probability shows the templates arrangedin decreasing order of occurrence.

[0102] Theoretical Probability=Calculation

[0103] In table 4 we show a sample of the Probability Table for a 6-48type game.

[0104] It shows for each template:

[0105] Its number—2

[0106] The representation in colors—3

[0107] The theoretical probability=calculation

[0108] Therefore in the examples shown in this table we would expect tosee, on average, nearly three occurrences of templates 1 and 2 in every100 drawings, or put in another way, nearly 30 occurrences in every 1000drawings. On the other hand for template 18, we would expect on averagenearly 1 occurrence for every 100 drawings, or put in another way,nearly 13 occurrences in every 1000 drawings. For templates 209 and 210the probability is around 7 occurrences in every 1,000,000 drawings.

[0109] It is important to note that the larger the number of draws thecloser the mean of the numbers gets to the calculation.

[0110] The behavior of the templates over a series of drawings is shownin the Columns Table

[0111] Table of Drawings

[0112] The Table of Drawings shows in an organized way the results ofall the draws. A well constructed table of draws provides importantinformation. In our table we use:

[0113] Date of the drawing

[0114] Number of the drawing

[0115] Numbers drawn presented in color according to the colorconvention.

[0116] Number of the template placed in the column according to itstype.

[0117] In table 5 we give a sample of the draws table from theCalifornia Fantasy 5 (5-39). This table is presented in blocks of 100draws.

[0118] Numeric Sum of the Templates

[0119] We have seen that the templates have a theoretical probability. Afurther important property of templates is the numeric sum. If we knowit, it can help us discover the range of bets where the chances ofwinning are greater. The numeric sum corresponds to the sum of all thenumbers marked in a game. Therefore, a template will show maximum andminimum values of the numeric sum. The average of these two points iswhere we find the greater number of occurrences.

[0120] Table 6 shows template 1 for a 6-48 game.

[0121] The games with the smallest and greatest numeric sums possible inthis template are shown in Table 6-B.

[0122] The average numeric sum therefore is 137. It can be easily shownthat the majority of the combinations occur around the average numericsum of the template.

[0123] Consider the example of two dice. To get a result which has thenumeric sum 2 there is only one possibility: that both dice have the 1spot face showing. The same is true for the numeric sum 12 (the dice liewith the 6 spot face showing). 7, on the other hand, which is theaverage of the numeric sum of the game of dice, can be obtained in sixdifferent ways (1 with 6, 2 with 5, 3 with 4, 5 with 2 and 6 with 1).

[0124] With the templates the behavior is the same. The greatestoccurrence possibility happens around the average of the numeric sum.

[0125] The information is shown in the Numeric Sum Table, Table 6-B.

[0126] Map of Drawings

[0127] The history of drawings by template is shown in a table which wecall the “drawings map”. This map shows all the draws of each one withthe date, drawing number, numbers drawn and the average numeric sumshown at the head of the table.

[0128] In Table 7 we present a sample of the “Drawings Map” fromtemplate 1 of the Super Sena.

[0129] Using the method of the invention, users can take advantage ofthe system for determining higher probability plays in particularlotteries by subscribing, over the internet or otherwise, to have accessto various levels of the templates and associated mathematicalinformation in accordance with a subscription payment plan.

[0130] In the “Basic” subscription plan, the drawings map does not showinformation about the numeric sum. This information is available in the“Intermediate” plan, at a higher subscription rate. Generally, a userwould subscribe to the system, to have access to the statisticalinformation developed, generated by computer and accessible in the formof the templates. A subscription type service is appropriate as the datais continually updated as lottery drawing results are generated overtime which of course affects the information generated.

[0131] In essence, the invention is a method for generating statisticalinformation related to predicting the outcome of a lottery drawing,organizing the data, preparing templates and optionally tables useful inpredicting the outcome of a lottery, and providing game players accessto the generated data for assisting the players in selecting numbers toplay in the lottery. The system is computer based and includes at leastone database of data for storing the game outcome historical data forgenerating the templates and tables, and for supporting access by users,possibly via the internet on a subscription basis, to the system. Themethod further includes color coding the templates so as to simplify theselection process by a user who is unfamiliar with statistical analysisand probability predictions.

[0132] Columns Table

[0133] The purpose of the columns table is to show the behavior of eachtemplate over the period of the drawings, which are divided into blocksof 100.

[0134] It shows in a dynamic way the swings of the templates by alwaysreferring the calculation back to the facts.

[0135] In Table 8 shows a sample of this table.

[0136] Description: On the left hand side it shows the templates withtheir respective theoretical probability and with their actualoccurrence. On the right there are three columns which show the total ofthe facts divided into blocks of 100 draws. At the top on the rightthere are links which allow for navigation around the blocks.

[0137] We can see that template 3 appeared twice in the first 100 draws,once in the next 100 and five times in draws 201 to 300. This produces atheoretical probability of occurrence of 2.97% and it is showing 3.02%for 300 draws. Template 75 never appeared, but as its theoreticalprobability is 0.4% it should occur nearly four times in every 1000draws.

[0138] We can see that despite oscillating, in accordance with the Lawof Large Numbers, we can state that:

[0139] 1. The swing is always around the Calculation.

[0140] 2. In line with the law, the greater the number of draws thenearer to the facts will be the calculation.

[0141] This table is an important tool for formulating game strategies.

[0142] The Statistics of the Numbers

[0143] The statistics always refer to numbers, pairs, trines, etc. foreach decile.

[0144] The positional statistic shows the total of the occurrences ofthe numbers, pairs, trines, etc. per decile in each possible position.

[0145] Examples of the occurrences of pairs in decile 1 (P1) inaccordance with their occurrence per column (only the deciles beginningwith 10 are shown) are set out in Tables 9, 9-A, 9-B, 9-C, 9-D and 9-E.

[0146] The positional statistic is very useful for analyzing a template.Therefore if we were to play using the template shown in Table 10, weought to refer to the following statistics:

[0147] the occurrence of single numbers in the zero decile (D0) incolumn C1;

[0148] the occurrence of pairs in decile 1 (P1) in columns C2 and C3;

[0149] the occurrence of pairs in decile 2 (P2) in columns C4 and C5.

[0150] Template Statistics

[0151] The correct evaluation test for probabilities is when, onaverage, the calculation agrees with the facts. Therefore, theevaluation has to be done using a group of templates with the sameprobability.

[0152] An example of the analysis for 1000 drawings:

[0153] The first three templates have the same probability, which is2.97%. Therefore, if we have 1000 draws, these 3 should show 30 drawseach. But they are showing 32, 34 and 29.

[0154] So the facts are presenting on average$\frac{32 + 34 + 29}{3} = {\frac{95}{3} = 31.6633}$

[0155] The calculation is=29.70 (rounded up) 30 draws

[0156] Average of the facts=31.66 (rounded up) 32 draws.

[0157] Analysis:

[0158] Templates 1, 2 and 3 should present 30 draws, but they arepresenting on average 32.

[0159] This table shows the ranking of each template within its owngroup.

[0160] In Table 11 we show the similar behavior of the first 35templates in a 6-49 lottery (France and Spain).

[0161] Positional Table Per Start

[0162] The Theoretical Probability Table shows the templates in order ofprobability. A reorganization of this table, grouping the templates withthe same initial colors gives the Positional Table per Start.

[0163] Take a 6-48 (Super Sena) game. Any template of this game has tostart in one of the ways shown in Table 12.

[0164] The Start Table shows a very rapid convergence of the facts forthe calculations. It is a great analysis tool for formulating gamestrategies, since it shows in a fairly succinct way where the drawingsare ahead or behind, relative to the calculated position.

[0165] Table 13 shows a sample of the Start Table of the Super Sena inaccordance with the results up to draw 517 of 21/07/2001.

[0166] We can see for each type of possible start the theoreticalprobability (% calculation) and the percentage of the actual occurrence(% facts) of the starts. The two final columns show the links to theColumns and Drawings Table for the start selected.

[0167] In the example in Table 13 we can see that start 1 has a 9.68%theoretical probability and is showing 9.26%, based on facts, up to thedraw of 21/07/2001. In Table 14 and 15 there are samples of the Columnsand Drawings Tables for this start.

[0168] The Columns Table shows, on the left hand side, the templates forthe selected start (start 1 in this example) in order of theoreticalprobability. On the right we have three columns divided into blocks of100 drawings. On the right hand side at the top, there are the linkswhich allow for navigation through the blocks.

[0169] From what we have described so far it is obvious that the subjectmatter of this patent, a System of Relevant Statistics for Games ofPrediction using Templates and presented in the form of Tables, providestotally new characteristics in this field, which merit the granting ofan Invention patent. TABLE 1 Abbreviated Decile name Color 1 2 3 4 5 6 78 9 zero DO Yellow The numbered squares above are yellow The rectangleabove is yellow 10 11 12 13 14 15 16 17 18 19 One D1 Light blue Thenumbered squares above are light blue The rectangle above is light blue20 21 22 23 24 25 26 27 28 29 Two D2 Gray The numbered squares above aregray The rectangle above is gray 30 31 32 33 34 35 36 37 38 39 Three D3Green The numbered squares above are green The rectangle above is green40 41 42 43 44 45 46 47 48 49 Four D4 Pink The numbered squares aboveare pink The rectangle above is pink 50 51 52 53 54 55 56 57 58 59 FiveD5 Ivory The numbered squares above are ivory The rectangle above isivory 60 61 62 63 64 65 66 67 68 69 Six D6 Red The numbered squaresabove are red The rectangle above is red 70 71 72 73 74 75 76 77 78 79Seven D7 Blue The numbered squares above are blue The rectangle above isblue 80 81 82 83 84 85 86 87 88 89 Eight D8 Light The numbered squaresabove are light green The green rectangle above is light green 90 91 9293 94 95 96 97 98 99 Nine D9 Brown The numbered squares above are brownThe rectangle above is brown

[0170] TABLE 2 Examples of games Yellow squares blue square gray squaresgreen square Normal lay-out Layout using colors Blue squares greensquares pink squares

[0171] TABLE 3 Yellow yellow blue gray green pink This represents allthe games where two numbers of the zero decile are chosen and one ofeach of the other deciles yellow blue blue gray green pink Thisrepresents all the games where two numbers of decile 1 are chosen andone number from each of the other deciles yellow yellow blue blue pinkpink This represents all the games where two numbers of the zero decileare chosen (pair from 0), two from decile 1 (pair from 1) and two fromdecile 4 (pair from 4) yellow yellow yellow blue gray pink Thisrepresents all the games where three from the zero decile are chosen(trine from decile 1, one from decile 2 and from decile 4

[0172] TABLE 4 Number Template calculation (%) 1 yellow blue blue graygreen pink 2.97 2 yellow blue gray gray green pink 2.97 3 yellow yellowblue gray green pink 2.64 18 blue blue gray green pink pink 1.32 209yellow yellow yellow yellow yellow yellow 0.0007 210 pink pink pink pinkpink pink 0.0007

[0173] TABLE 5 Summary of draws from 1 to 100 —100 draws Type oftemplate PP P T TP Q V Calculation of the type (%) 36.93 27.36 21.889.85 3.83 0.15 Quantity of facts 41 22 24 9 4 0 Facts (%) 41.00 22.0024.00 9.00 4.00 0.00 Date Draw Numbers Number of the template 04/02/92 1 05 08 10 30 38 15 06/02/92  2 02 09 12 18 21 11 07/02/92  3 01 06 1730 35 15 11/02/92  4 09 10 13 14 23 20 13/02/92  5 03 15 30 34 38 2414/02/92  6 04 08 18 23 39 4 18/02/92  7 01 09 13 23 30 4 20/02/92  8 0618 17 37 38 9 21/02/92  9 03 11 12 18 33 22 25/02/92  10 10 11 17 24 2729 27/02/92  11 07 18 22 26 37 2 28/02/92  12 09 10 31 34 39 24 03/03/92 13 13 18 25 27 34 5 05/03/92  14 02 07 12 15 32 13 06/03/92  15 01 0922 23 32 14 22/09/92 100 07 10 13 19 20 20

[0174] TABLE 6 Template 1 of a 6-48 game yellow blue Blue gray greenpink

[0175] TABLE 6-A Games with the smallest and largest possible numericsums 01 10 11 20 30 10 Sum: 112 09 18 19 29 39 48 Sum: 162

[0176] TABLE 6-B Numeric Sum Table Min. Number Template sum Ave. sum Maxsum 1 yellow blue blue gray green pink 112 137 162 2 yellow blue graygray green pink 122 147 172 210 pink pink pink pink pink pink 255 264273

[0177] TABLE 7 “Drawings Map” of template 1 for the Super Sena Template1   Average Numeric Sum: 137 Facts: 33* Date Draw Numbers drawn Sum  3607 14 16 29 31 41 138  45 04 12 19 25 33 45 138  75 05 13 17 20 33 42130  97 08 13 16 27 30 45 139  99 09 13 16 20 37 47 142 09/10/1997 134A01 17 18 29 33 43 141 22/01/1998 162B 02 11 16 20 36 42 127 05/02/1998166B 01 12 16 24 33 48 134 01/04/1998 181A 07 13 17 27 31 42 13716/05/1998 194B 06 17 19 24 33 40 139 07/04/2001 487A 02 17 19 26 37 42143

[0178] TABLE 8 “Columns Table” for a 6-48 type game Facts per Afterblock of 300 100 drawings drawings Start: 101 Template % % Start: 1 End:Start: 201 number Template Calc. Facts Facts End: 100 200 End: 300 3Yellow blue gray green green pink 2.97 3.02 26 2 1 5 14 Yellow gray graygreen green pink 1.34 1.40 12 1 1 2 32 Yellow gray green green pink pink1.19 1.28 11 1 2 2 75 Yellow gray gray gray green green 0.40

[0179] TABLE 9 Columns C1 and C2 C1 C2 C3 C4 C5 C6 Quantity 1 10 11 3 210 12 6 3 10 13 4 4 10 14 2 5 10 15 2 6 10 16 1 7 10 17 1 8 10 18 2 9 1019 1 22

[0180] TABLE 9-A Columns C2 and C3 C1 C2 C3 C4 C5 C6 Quantity 1 10 13 22 10 14 1 3 10 15 1 4 10 16 3 5 10 17 4 6 10 18 1 7 10 19 1 13

[0181] TABLE 9-B Columns C3 and C4 C1 C2 C3 C4 C5 C6 Quantity 1 10 12 12 10 17 1 3 10 19 3 5

[0182] TABLE 9-C Columns C4 and C5 C1 C2 C3 C4 C5 C6 Quantity 1 10 11 12 10 15 1 3 10 18 1 3

[0183] TABLE 9-D Columns C5 and C6 C1 C2 C3 C4 C5 C7 Quantity 0

[0184] TABLE 10 C1 C2 C3 C4 C5 C6 yellow blue blue gray gray pink

[0185] TABLE 11 Probability of Quantity of template templates % expected% Templates 2.97 3 30.00 33.00 show 2.64 2 27.00 24.00 show 1.49 6 15.0014.00 show 1.34 3 14.00 12.00 show 1.32 6 13.00 11.00 show

[0186] TABLE 12 Start Abbreviated name yellow 0 Yellow Yellow 00 YellowYellow Yellow 000 Yellow Yellow Yellow Yellow 0000 Yellow Yellow YellowYellow Yellow 00000 yellow Yellow yellow Yellow yellow Yellow 000000blue 1 Blue Blue 11 Blue Blue Blue 111 Blue Blue Blue Blue 1111 BlueBlue Blue Blue Blue 11111 Blue Blue blue blue blue blue 111111 Gray 2Gray Gray 22 Gray Gray Gray 222 Gray Gray Gray Gray 2222 Gray Gray GrayGray Gray 22222 Gray Gray Gray Gray Gray Gray 222222 green 3 Green Green33 Green Green Green 333 Green Green Green Green 3333 Green Green GreenGreen Green 33333 green Green green Green green green 333333 pink Pinkpink pink pink pink  444444

[0187] TABLE 13 Start % % Columns Table Results blue 9.68 9.26 show showBlue Blue 8.71 8.71 show show Blue Blue Blue 3.57 4.74 show show BlueBlue Blue Blue 0.69 .44 show show Blue Blue Blue Blue Blue 0.06 blueblue Blue blue Blue Blue 0.00 gray 0.95 1.76 show show Gray Gray 1.420.77 show show Gray Gray Gray 0.95 1.21 show show Gray Gray Gray Gray0.29 0.11 show show Gray gray Gray gray Gray 0.04 0.11 show show graygray gray gray Gray gray 0.00

[0188] TABLE 14 Facts per After block 300 of 100 drawings drawingsStart: % % Start: 1 Start: 101 201 Start 1 Calc. Facts Facts End: End:End: Template Columns 9.68 9.67 29 100 200 300 19 blue gray gray greenpink pink 1.32 0.67 2 1 1 151 blue green pink pink pink pink 0.10 0.33 11

[0189] TABLE 15 Start 1 Set PP T TP Q V Calculation (%) 4.13 2.44 2.20.84 0.05 at the start Facts: 84 44 19 18 3 0 Facts (%) 4.85 2.09 1.980.33 0.00 Date Drawing Columns 28/09/1997 131^(A) 17 21 30 36 39 40 4102/10/1997 132^(A) 10 21 23 31 35 45 11 19/10/1997 137B 15 24 28 33 3747 11 02/11/1997 141B 12 22 27 30 32 39 71

[0190] The invention system makes it possible to view comparisonsbetween what is expected (the average probability of a pattern to bedrawn) and what actually occurs (real results of lottery drawings). Theknowledge can help build a game strategy, by choosing the patterns witha better chance of occurrence. The system provides for a usertheoretical tables that show what is expected to occur with the patterns(average probability), result tables that show actual results of eachpattern in actual drawings, and control panels which cross expectedresults with actual ones. In order to simplify decision-making andvisualize the results, the colored patterns have been divided into twobasic groups, the “types” and the “starts”. Types classify patternsaccording to the number of color occurrences (pair of one color, trineof one color, etc.) as described above. The grouping of patternsaccording to their type was shown in the respective table of theoreticalprobability. For example, in a 6/48 lottery, the patterns type PP (twopairs of distinctive colors) have 38.27% chances coming out. Therefore,there would be around 38 occurrences of this type in every 100 drawings.

[0191] Starts are the start of a pattern, determined by its initial ten(color) and by the number of times it appears. The grouping of patternsby start is shown in its specific table. Start 0 of a lottery 6/49 has atheoretical probability of occurrence of 42.23%. This means that therewould be about 42 occurrences in every 100 drawings. The simplest andmost effective way to define a game strategy is by finding out whichgroups of patterns (start and type) have a wider difference incomparison with the expected results. One strategy is the advancedstrategy where a player would play on groups which occur more frequentlythan expected while another is the delayed strategy where a playerchooses groups which were drawn less times than expected. After defininga strategy, the player looks for the best patterns of the chosen group.

[0192] The system provides the user with tools to help plan a selectionfor a game, providing means to search groups with greatest divergence inrelation to theoretical results, to view pattern statistics and see theconsolidated position of starts and types, providing control panels toobserve the behavior of the starts and types through time, and providingdrawing tables to view the groups behavior at the latest drawings

[0193] The system also provides generated search pattern statistics tofind the best patterns within the chosen start and type, and allowing auser to use the drawings to identify patterns that aren't usuallyrepeated within a short space of time.

[0194] The comprehensive system additionally has a random play analyzer,numbers combiner and results checker, all available to a user having thehigher level subscription service.

[0195] As described above, winning a lottery is not merely a matter ofluck. By having access to the templates, tools and tables generated by acomputer, which are constantly updated, a person may create a gamestately related to the behavior pattern of the lottery drawings, basedon mathematics and probabilities, presented in a format that visualizesthe patterns and selections so one having no familiarity withmathematics or probabilities can easily use the tools for selectingnumbers for a lottery drawing. By subscribing to the inventive system, auser has access to the tables with behavior patterns for the specificlottery, patterns of games with their respective drawing probabilitiesand updated information in accordance with drawing results. Preferably,a user would subscribe for a time period, for example 6 months, for asingle lottery, with all the tools available for that time periodrelated to that lottery. A basic subscription may provide access, forexample, to the theoretical tables of probability, of the patterns, ofthe types and of the starts, a drawing results table and drawing resultsmap, a control panel of starts, of the types and of the patterns, andstatistics, simple as well as positional and pattern statistics.Optional features of a higher level subscription may include a randomplay theoretical table, numbers combiner and results checker.

[0196] While preferred embodiments of the present invention have beenshown and described, it will be understood by those skilled in the artthat various changes or modifications may be made without varying fromthe scope of the invention.

I claim:
 1. A computer based system for predicting the outcome of gamesof prediction comprising generating relevant statistices for the gamesof prediction, generating templates and tables, using the relevantstatistics, the statistics providing a situation of equilibrium in eachstep of the evolution of lottery draws; the templates having organizedtherein “Discrete Sample Spaces” for determining the theoreticalprobabilities of the outcomes followed in game draws, the systemperforming calculations wherein the calculations and the facts coincide,respecting Standard Deviation, for formulating predictions based on thestatistics, the templates representing all the game outcomes with thesame behavior patterns, the patterns being represented by colors, suchthat a user accessing the system obtains probability data for selectinglottery numbers.
 2. The system of claim 1 wherein each template has itstheoretical probability calculated for formulating predictions based ona search for the probability that an increase in the number of drawingsincreases the probability that the observed average will not deviatemore than 2% from the true average; the statistics of the templates andnumbers generated by the computer, the rationalization of theinformation into colors by the computer easing management of theselection of lottery numbers.
 3. The system of claim 1 furthercomprising generating constructive operational variables for determininga precise probabilistic mathematical model for predicting the lotteryoutcome, revealed by means of a simple and colorful representation ofthe complex and sophisticated working of lotteries drawings.
 4. Thesystem of claim 1 wherein the colors reveal the forms of the lotteryoutcomes, allowing colors to be combined in an organized way inpredetermined spaces, to reveal all possible types of combinations forthe lottery drawings.
 5. The system of claim 1 further comprisingdisplaying information on the behavior of the results in games ofprediction and supplying the displayed information to a subscriber sothat a higher probability game strategy can be formulated.
 6. The systemof claim 1 further comprising visualizing probable game pattern outcomesusing a color system, the colors representing the numbers generated eachdecile associated with a color and given a name which is defined by itsfirst number.
 7. The system of claim 1 wherein each game has acorresponding template, identified by the colors of the template.
 8. Thesystem of claim 1 wherein combinations of colors in an ordered fashionin predetermined spaces provide all the possible game outcomecombinations.
 9. The system of claim 1 wherein the templates contain thesynthesis of the entire lottery process and following the preciseindications of the colors, the systems close, as the templates not onlysynthesize the information on outcomes and illustrate the patterns ofbehavior which in turn relates an exact calculation of the theoreticalgame outcome probabilities.
 10. The system of claim 1 wherein thetemplates illustrate patterns which follow a very precise logicalcoherence, demonstrating the causes of the occurrence of the patterns asthe very patterns themselves.
 11. The system of claim 1 wherein thecolors indicate the templates which in turn are defined by the productof the combinations which they represent, the templates relating to thebehavior patterns which, when quantified, indicate the theoreticalprobabilities when all the Sample Spaces are brought into operation. 12.The system of claim 1 further comprising providing a TheoreticalProbability Table showing the templates organized in decreasing order ofoccurrence, with each template indicating a number, its colorrepresentation and its theoretical probability calculation.
 13. Thesystem of claim 1, further comprising providing a Drawings Table showingthe results of all the drawings in an orderly way, to providesadditional information selected from the group consisting of the date ofthe drawing, the number, the numbers drawn indicated in colors,according to the color convention, a template number placed in thecolumn corresponding to its type, or combinations thereof.
 14. Thesystem of claim 1 wherein the templates have a theoretical probabilityand a numeric sum, which identifies a range of selected outcomes wherethe chances of winning are greater to be identified, the numeric sumcorresponding to a sum of all the numbers marked down in the game, thetemplate showing the maximum and minimum values of the numeric sum, andproviding an average between these two values to identify where thegreatest number of occurrences will happen.
 15. The system of claim 1further comprising providing a drawing map table comprising historicaldata on the lottery drawings, on the template, the drawing map showingall the drawings of each template, the date, number of the drawing,numbers drawn and the average numeric sum.
 16. The system of claim 1further comprising a Columns Table showing the behavior of each templateover the period of the game drawings, divided into blocks of 100 to showin a dynamic way the fluctuations of the templates, cross-referencingthe calculation with the facts.
 17. The system of claim 1 wherein thestatistics refer to numbers, pairs, trines, etc. for each decile, thepositional statistic showing the total occurrence of the numbers, pairs,trines, etc., per decile in each possible position, so that thepositional statistic is used for analyzing a template.
 18. The system ofclaim 1 further comprising providing a Theoretical Probability Tableshowing the templates in order of probability, such that areorganization of the Theoretical Probability table, where the templatesare grouped with the same initial colors, provides a Positional Table.19. The system of claim 1 further comprising a Start Table showing avery quick convergence between the data and the calculations, the StartTable being an analysis tool for formulating game strategies by showingwhere the game drawings are ahead or behind relative to the statisticalcalculation.
 20. The system of claim 1 further comprising a ColumnsTable located on a left side of the templates selected in order oftheoretical probability, at the right side are located three columnsshowing the total of the data divided into blocks of 100 drawings, andon the right side at the top there are located links for navigationthrough the blocks.